Algerian_forest_fires Report

Dataset statistics

Number of variables	15
Number of observations	244
Missing cells	1
Missing cells (%)	< 0.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	28.7 KiB
Average record size in memory	120.5 B

Variable types

Numeric	9
Categorical	6

Alerts

`year` has constant value "2012"	Constant
`DC` has a high cardinality: 198 distinct values	High cardinality
`FWI` has a high cardinality: 126 distinct values	High cardinality
`day` is highly correlated with `DMC` and 1 other fields	High correlation
`Temperature` is highly correlated with `month` and 6 other fields	High correlation
`RH` is highly correlated with `Temperature` and 3 other fields	High correlation
`Rain` is highly correlated with `Temperature` and 3 other fields	High correlation
`FFMC` is highly correlated with `Temperature` and 6 other fields	High correlation
`DMC` is highly correlated with `day` and 5 other fields	High correlation
`ISI` is highly correlated with `Temperature` and 5 other fields	High correlation
`BUI` is highly correlated with `day` and 5 other fields	High correlation
`month` is highly correlated with `Temperature` and 2 other fields	High correlation
`year` is highly correlated with `month` and 2 other fields	High correlation
`Region` is highly correlated with `RH`	High correlation
`Classes` is highly correlated with `Temperature` and 5 other fields	High correlation
`Ws` is highly correlated with `Temperature` and 1 other fields	High correlation
`DC` is uniformly distributed	Uniform
`Region` is uniformly distributed	Uniform
`Rain` has 133 (54.5%) zeros	Zeros
`ISI` has 4 (1.6%) zeros	Zeros

Reproduction

Analysis started	2022-10-02 05:55:43.889997
Analysis finished	2022-10-02 05:56:14.744284
Duration	30.85 seconds
Software version	pandas-profiling v3.3.0
Download configuration	config.json

day
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	31
Distinct (%)	12.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.75409836

Minimum	1
Maximum	31
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.0 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	8
median	16
Q3	23
95-th percentile	29
Maximum	31
Range	30
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	8.825059228
Coefficient of variation (CV)	0.5601754557
Kurtosis	-1.198650172
Mean	15.75409836
Median Absolute Deviation (MAD)	8
Skewness	0.002806412611
Sum	3844
Variance	77.88167038
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
1	8	3.3%
17	8	3.3%
30	8	3.3%
29	8	3.3%
28	8	3.3%
27	8	3.3%
26	8	3.3%
25	8	3.3%
24	8	3.3%
23	8	3.3%
Other values (21)	164	67.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	8	3.3%
2	8	3.3%
3	8	3.3%
4	8	3.3%
5	8	3.3%
6	8	3.3%
7	8	3.3%
8	8	3.3%
9	8	3.3%
10	8	3.3%

Value	Count	Frequency (%)
31	4	1.6%
30	8	3.3%
29	8	3.3%
28	8	3.3%
27	8	3.3%
26	8	3.3%
25	8	3.3%
24	8	3.3%
23	8	3.3%
22	8	3.3%

month
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

7	62
8	62
6	60
9	60

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	244
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	6
2nd row	6
3rd row	6
4th row	6
5th row	6

Common Values

Value	Count	Frequency (%)
7	62	25.4%
8	62	25.4%
6	60	24.6%
9	60	24.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
7	62	25.4%
8	62	25.4%
6	60	24.6%
9	60	24.6%

Most occurring characters

Value	Count	Frequency (%)
7	62	25.4%
8	62	25.4%
6	60	24.6%
9	60	24.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	244	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
7	62	25.4%
8	62	25.4%
6	60	24.6%
9	60	24.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	244	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
7	62	25.4%
8	62	25.4%
6	60	24.6%
9	60	24.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	244	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
7	62	25.4%
8	62	25.4%
6	60	24.6%
9	60	24.6%

year
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

2012	244

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	976
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2012
2nd row	2012
3rd row	2012
4th row	2012
5th row	2012

Common Values

Value	Count	Frequency (%)
2012	244	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2012	244	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	488	50.0%
0	244	25.0%
1	244	25.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	976	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	488	50.0%
0	244	25.0%
1	244	25.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	976	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	488	50.0%
0	244	25.0%
1	244	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	976	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	488	50.0%
0	244	25.0%
1	244	25.0%

Temperature
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	19
Distinct (%)	7.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	32.17213115

Minimum	22
Maximum	42
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.0 KiB

Quantile statistics

Minimum	22
5-th percentile	26
Q1	30
median	32
Q3	35
95-th percentile	37.85
Maximum	42
Range	20
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.63384326
Coefficient of variation (CV)	0.1129500325
Kurtosis	-0.1543103757
Mean	32.17213115
Median Absolute Deviation (MAD)	3
Skewness	-0.1963088795
Sum	7850
Variance	13.20481684
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
35	29	11.9%
31	25	10.2%
34	24	9.8%
33	23	9.4%
30	22	9.0%
32	21	8.6%
36	21	8.6%
29	18	7.4%
28	15	6.1%
37	9	3.7%
Other values (9)	37	15.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
22	2	0.8%
24	3	1.2%
25	6	2.5%
26	5	2.0%
27	8	3.3%
28	15	6.1%
29	18	7.4%
30	22	9.0%
31	25	10.2%
32	21	8.6%

Value	Count	Frequency (%)
42	1	0.4%
40	3	1.2%
39	6	2.5%
38	3	1.2%
37	9	3.7%
36	21	8.6%
35	29	11.9%
34	24	9.8%
33	23	9.4%
32	21	8.6%

RH
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	62
Distinct (%)	25.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	61.93852459

Minimum	21
Maximum	90
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.0 KiB

Quantile statistics

Minimum	21
5-th percentile	37
Q1	52
median	63
Q3	73.25
95-th percentile	86
Maximum	90
Range	69
Interquartile range (IQR)	21.25

Descriptive statistics

Standard deviation	14.88420018
Coefficient of variation (CV)	0.2403060176
Kurtosis	-0.5303278714
Mean	61.93852459
Median Absolute Deviation (MAD)	11
Skewness	-0.2379643933
Sum	15113
Variance	221.5394151
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
64	10	4.1%
55	10	4.1%
58	8	3.3%
54	8	3.3%
78	8	3.3%
68	7	2.9%
66	7	2.9%
73	7	2.9%
80	7	2.9%
65	7	2.9%
Other values (52)	165	67.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
21	1	0.4%
24	1	0.4%
26	1	0.4%
29	1	0.4%
31	1	0.4%
33	2	0.8%
34	3	1.2%
35	1	0.4%
36	1	0.4%
37	4	1.6%

Value	Count	Frequency (%)
90	1	0.4%
89	3	1.2%
88	3	1.2%
87	4	1.6%
86	3	1.2%
84	2	0.8%
83	1	0.4%
82	3	1.2%
81	6	2.5%
80	7	2.9%

Ws
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	18
Distinct (%)	7.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.50409836

Minimum	6
Maximum	29
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.0 KiB

Quantile statistics

Minimum	6
5-th percentile	11
Q1	14
median	15
Q3	17
95-th percentile	20
Maximum	29
Range	23
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.810178371
Coefficient of variation (CV)	0.181253905
Kurtosis	2.602155825
Mean	15.50409836
Median Absolute Deviation (MAD)	2
Skewness	0.5458812499
Sum	3783
Variance	7.897102476
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
14	43	17.6%
15	40	16.4%
13	30	12.3%
17	28	11.5%
16	27	11.1%
18	26	10.7%
19	15	6.1%
21	8	3.3%
11	7	2.9%
12	7	2.9%
Other values (8)	13	5.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
6	1	0.4%
8	1	0.4%
9	2	0.8%
10	3	1.2%
11	7	2.9%
12	7	2.9%
13	30	12.3%
14	43	17.6%
15	40	16.4%
16	27	11.1%

Value	Count	Frequency (%)
29	1	0.4%
26	1	0.4%
22	2	0.8%
21	8	3.3%
20	2	0.8%
19	15	6.1%
18	26	10.7%
17	28	11.5%
16	27	11.1%
15	40	16.4%

Rain
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	39
Distinct (%)	16.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.7606557377

Minimum	0
Maximum	16.8
Zeros	133
Zeros (%)	54.5%
Negative	0
Negative (%)	0.0%
Memory size	2.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0.5
95-th percentile	4.355
Maximum	16.8
Range	16.8
Interquartile range (IQR)	0.5

Descriptive statistics

Standard deviation	1.999405565
Coefficient of variation (CV)	2.628528868
Kurtosis	25.94212272
Mean	0.7606557377
Median Absolute Deviation (MAD)	0
Skewness	4.579070596
Sum	185.6
Variance	3.997622614
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=39)

Value	Count	Frequency (%)
0	133	54.5%
0.1	18	7.4%
0.2	12	4.9%
0.3	10	4.1%
0.4	8	3.3%
0.7	6	2.5%
0.6	6	2.5%
0.5	5	2.0%
1.1	3	1.2%
1.2	3	1.2%
Other values (29)	40	16.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	133	54.5%
0.1	18	7.4%
0.2	12	4.9%
0.3	10	4.1%
0.4	8	3.3%
0.5	5	2.0%
0.6	6	2.5%
0.7	6	2.5%
0.8	2	0.8%
0.9	1	0.4%

Value	Count	Frequency (%)
16.8	1	0.4%
13.1	1	0.4%
10.1	1	0.4%
8.7	1	0.4%
8.3	1	0.4%
7.2	1	0.4%
6.5	1	0.4%
6	1	0.4%
5.8	1	0.4%
4.7	1	0.4%

FFMC
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	173
Distinct (%)	70.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	77.88770492

Minimum	28.6
Maximum	96
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.0 KiB

Quantile statistics

Minimum	28.6
5-th percentile	47.145
Q1	72.075
median	83.5
Q3	88.3
95-th percentile	92.185
Maximum	96
Range	67.4
Interquartile range (IQR)	16.225

Descriptive statistics

Standard deviation	14.33757088
Coefficient of variation (CV)	0.1840800277
Kurtosis	1.05520829
Mean	77.88770492
Median Absolute Deviation (MAD)	5.7
Skewness	-1.325633262
Sum	19004.6
Variance	205.5659387
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
88.9	8	3.3%
89.4	5	2.0%
89.3	4	1.6%
85.4	4	1.6%
89.1	4	1.6%
78.3	3	1.2%
88.1	3	1.2%
88.3	3	1.2%
47.4	3	1.2%
79.9	3	1.2%
Other values (163)	204	83.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
28.6	1	0.4%
30.5	1	0.4%
36.1	1	0.4%
37.3	1	0.4%
37.9	1	0.4%
40.9	1	0.4%
41.1	1	0.4%
42.6	1	0.4%
44.9	1	0.4%
45	1	0.4%

Value	Count	Frequency (%)
96	1	0.4%
94.3	1	0.4%
94.2	1	0.4%
93.9	2	0.8%
93.8	1	0.4%
93.7	1	0.4%
93.3	1	0.4%
93	1	0.4%
92.5	2	0.8%
92.2	2	0.8%

DMC
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	166
Distinct (%)	68.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	14.67336066

Minimum	0.7
Maximum	65.9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.0 KiB

Quantile statistics

Minimum	0.7
5-th percentile	1.9
Q1	5.8
median	11.3
Q3	20.75
95-th percentile	41.01
Maximum	65.9
Range	65.2
Interquartile range (IQR)	14.95

Descriptive statistics

Standard deviation	12.36803873
Coefficient of variation (CV)	0.8428906658
Kurtosis	2.487598085
Mean	14.67336066
Median Absolute Deviation (MAD)	6.9
Skewness	1.527652386
Sum	3580.3
Variance	152.9683821
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7.9	5	2.0%
12.5	4	1.6%
1.9	4	1.6%
3.4	3	1.2%
4.6	3	1.2%
16	3	1.2%
6	3	1.2%
3.2	3	1.2%
9.7	3	1.2%
2.6	3	1.2%
Other values (156)	210	86.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.7	1	0.4%
0.9	2	0.8%
1.1	2	0.8%
1.2	1	0.4%
1.3	3	1.2%
1.7	1	0.4%
1.9	4	1.6%
2.1	1	0.4%
2.2	2	0.8%
2.4	1	0.4%

Value	Count	Frequency (%)
65.9	1	0.4%
61.3	1	0.4%
56.3	1	0.4%
54.2	1	0.4%
51.3	1	0.4%
50.2	1	0.4%
47	1	0.4%
46.6	1	0.4%
46.1	1	0.4%
45.6	1	0.4%

DC
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	198
Distinct (%)	81.1%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

8	5
7.6	4
7.8	4
8.4	4
7.5	4
Other values (193)	223

Length

Max length	6
Median length	4
Mean length	3.692622951
Min length	1

Characters and Unicode

Total characters	901
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	168 ?
Unique (%)	68.9%

Sample

1st row	7.6
2nd row	7.6
3rd row	7.1
4th row	6.9
5th row	14.2

Common Values

Value	Count	Frequency (%)
8	5	2.0%
7.6	4	1.6%
7.8	4	1.6%
8.4	4	1.6%
7.5	4	1.6%
8.3	4	1.6%
8.2	4	1.6%
17	3	1.2%
16.6	2	0.8%
10	2	0.8%
Other values (188)	208	85.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
8	5	2.0%
7.8	4	1.6%
8.4	4	1.6%
7.5	4	1.6%
8.3	4	1.6%
8.2	4	1.6%
7.6	4	1.6%
17	3	1.2%
30.5	2	0.8%
14.7	2	0.8%
Other values (189)	209	85.3%

Most occurring characters

Value	Count	Frequency (%)
.	217	24.1%
1	113	12.5%
7	92	10.2%
8	70	7.8%
4	68	7.5%
3	68	7.5%
2	68	7.5%
5	67	7.4%
6	57	6.3%
9	49	5.4%
Other values (2)	32	3.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	683	75.8%
Other Punctuation	217	24.1%
Space Separator	1	0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	113	16.5%
7	92	13.5%
8	70	10.2%
4	68	10.0%
3	68	10.0%
2	68	10.0%
5	67	9.8%
6	57	8.3%
9	49	7.2%
0	31	4.5%

Other Punctuation

Value	Count	Frequency (%)
.	217	100.0%

Space Separator

Value	Count	Frequency (%)
	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	901	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	217	24.1%
1	113	12.5%
7	92	10.2%
8	70	7.8%
4	68	7.5%
3	68	7.5%
2	68	7.5%
5	67	7.4%
6	57	6.3%
9	49	5.4%
Other values (2)	32	3.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	901	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	217	24.1%
1	113	12.5%
7	92	10.2%
8	70	7.8%
4	68	7.5%
3	68	7.5%
2	68	7.5%
5	67	7.4%
6	57	6.3%
9	49	5.4%
Other values (2)	32	3.6%

ISI
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	106
Distinct (%)	43.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.774180328

Minimum	0
Maximum	19
Zeros	4
Zeros (%)	1.6%
Negative	0
Negative (%)	0.0%
Memory size	2.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0.3
Q1	1.4
median	3.5
Q3	7.3
95-th percentile	13.37
Maximum	19
Range	19
Interquartile range (IQR)	5.9

Descriptive statistics

Standard deviation	4.175318098
Coefficient of variation (CV)	0.8745622937
Kurtosis	0.7833551712
Mean	4.774180328
Median Absolute Deviation (MAD)	2.4
Skewness	1.121975461
Sum	1164.9
Variance	17.43328122
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.1	8	3.3%
1.2	7	2.9%
0.4	5	2.0%
4.7	5	2.0%
5.2	5	2.0%
1.5	5	2.0%
2.8	5	2.0%
1	5	2.0%
5.6	5	2.0%
2.2	4	1.6%
Other values (96)	190	77.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4	1.6%
0.1	4	1.6%
0.2	4	1.6%
0.3	3	1.2%
0.4	5	2.0%
0.5	2	0.8%
0.6	4	1.6%
0.7	4	1.6%
0.8	3	1.2%
0.9	2	0.8%

Value	Count	Frequency (%)
19	1	0.4%
18.5	1	0.4%
17.2	1	0.4%
16.6	1	0.4%
16	1	0.4%
15.7	2	0.8%
15.5	1	0.4%
14.3	1	0.4%
14.2	1	0.4%
13.8	2	0.8%

BUI
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	174
Distinct (%)	71.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	16.6647541

Minimum	1.1
Maximum	68
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.0 KiB

Quantile statistics

Minimum	1.1
5-th percentile	2.43
Q1	6
median	12.25
Q3	22.525
95-th percentile	46.35
Maximum	68
Range	66.9
Interquartile range (IQR)	16.525

Descriptive statistics

Standard deviation	14.20482398
Coefficient of variation (CV)	0.8523872536
Kurtosis	1.979149777
Mean	16.6647541
Median Absolute Deviation (MAD)	7.2
Skewness	1.459068608
Sum	4066.2
Variance	201.7770242
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3	5	2.0%
5.1	4	1.6%
8.3	3	1.2%
7.7	3	1.2%
14.2	3	1.2%
22.4	3	1.2%
11.5	3	1.2%
10.9	3	1.2%
3.9	3	1.2%
2.9	3	1.2%
Other values (164)	211	86.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.1	1	0.4%
1.4	2	0.8%
1.6	2	0.8%
1.7	2	0.8%
1.8	2	0.8%
2.2	1	0.4%
2.4	3	1.2%
2.6	2	0.8%
2.7	2	0.8%
2.8	2	0.8%

Value	Count	Frequency (%)
68	1	0.4%
67.4	1	0.4%
64	1	0.4%
62.9	1	0.4%
59.5	1	0.4%
59.3	1	0.4%
57.1	1	0.4%
54.9	1	0.4%
54.7	1	0.4%
50.9	1	0.4%

FWI
Categorical

HIGH CARDINALITY

Distinct	126
Distinct (%)	51.6%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

0.4	12
0.8	10
0.5	9
0.1	9
0	9
Other values (121)	195

Length

Max length	7
Median length	3
Mean length	3.081967213
Min length	1

Characters and Unicode

Total characters	752
Distinct characters	16
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	76 ?
Unique (%)	31.1%

Sample

1st row	0.5
2nd row	0.4
3rd row	0.1
4th row	0
5th row	0.5

Common Values

Value	Count	Frequency (%)
0.4	12	4.9%
0.8	10	4.1%
0.5	9	3.7%
0.1	9	3.7%
0	9	3.7%
0.3	8	3.3%
0.9	7	2.9%
0.2	6	2.5%
0.7	5	2.0%
0.6	4	1.6%
Other values (116)	165	67.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
0.4	12	4.9%
0.8	10	4.1%
0.5	9	3.7%
0.1	9	3.7%
0	9	3.7%
0.3	8	3.3%
0.9	7	2.9%
0.2	6	2.5%
0.7	5	2.0%
0.6	4	1.6%
Other values (116)	165	67.6%

Most occurring characters

Value	Count	Frequency (%)
.	215	28.6%
0	96	12.8%
1	96	12.8%
2	61	8.1%
3	55	7.3%
5	41	5.5%
9	41	5.5%
7	38	5.1%
4	36	4.8%
6	36	4.8%
Other values (6)	37	4.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	530	70.5%
Other Punctuation	215	28.6%
Lowercase Letter	4	0.5%
Space Separator	3	0.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	96	18.1%
1	96	18.1%
2	61	11.5%
3	55	10.4%
5	41	7.7%
9	41	7.7%
7	38	7.2%
4	36	6.8%
6	36	6.8%
8	30	5.7%

Lowercase Letter

Value	Count	Frequency (%)
f	1	25.0%
i	1	25.0%
r	1	25.0%
e	1	25.0%

Other Punctuation

Value	Count	Frequency (%)
.	215	100.0%

Space Separator

Value	Count	Frequency (%)
	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	748	99.5%
Latin	4	0.5%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	215	28.7%
0	96	12.8%
1	96	12.8%
2	61	8.2%
3	55	7.4%
5	41	5.5%
9	41	5.5%
7	38	5.1%
4	36	4.8%
6	36	4.8%
Other values (2)	33	4.4%

Latin

Value	Count	Frequency (%)
f	1	25.0%
i	1	25.0%
r	1	25.0%
e	1	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	752	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	215	28.6%
0	96	12.8%
1	96	12.8%
2	61	8.1%
3	55	7.3%
5	41	5.5%
9	41	5.5%
7	38	5.1%
4	36	4.8%
6	36	4.8%
Other values (6)	37	4.9%

Classes
Categorical

HIGH CORRELATION

Distinct	8
Distinct (%)	3.3%
Missing	1
Missing (%)	0.4%
Memory size	2.0 KiB

fire	131
not fire	101
fire	4
fire	2
not fire	2
Other values (3)	3

Length

Max length	13
Median length	7
Mean length	8.658436214
Min length	4

Characters and Unicode

Total characters	2104
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	1.2%

Sample

1st row	not fire
2nd row	not fire
3rd row	not fire
4th row	not fire
5th row	not fire

Common Values

Value	Count	Frequency (%)
fire	131	53.7%
not fire	101	41.4%
fire	4	1.6%
fire	2	0.8%
not fire	2	0.8%
not fire	1	0.4%
not fire	1	0.4%
not fire	1	0.4%
(Missing)	1	0.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
fire	243	69.6%
not	106	30.4%

Most occurring characters

Value	Count	Frequency (%)
	814	38.7%
f	243	11.5%
i	243	11.5%
r	243	11.5%
e	243	11.5%
n	106	5.0%
o	106	5.0%
t	106	5.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1290	61.3%
Space Separator	814	38.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
f	243	18.8%
i	243	18.8%
r	243	18.8%
e	243	18.8%
n	106	8.2%
o	106	8.2%
t	106	8.2%

Space Separator

Value	Count	Frequency (%)
	814	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1290	61.3%
Common	814	38.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
f	243	18.8%
i	243	18.8%
r	243	18.8%
e	243	18.8%
n	106	8.2%
o	106	8.2%
t	106	8.2%

Common

Value	Count	Frequency (%)
	814	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2104	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	814	38.7%
f	243	11.5%
i	243	11.5%
r	243	11.5%
e	243	11.5%
n	106	5.0%
o	106	5.0%
t	106	5.0%

Region
Categorical

HIGH CORRELATION
UNIFORM

Distinct	2
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

1	122
0	122

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	244
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	122	50.0%
0	122	50.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	122	50.0%
0	122	50.0%

Most occurring characters

Value	Count	Frequency (%)
1	122	50.0%
0	122	50.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	244	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	122	50.0%
0	122	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	244	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	122	50.0%
0	122	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	244	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	122	50.0%
0	122	50.0%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	day	month	year	Temperature	RH	Ws	Rain	FFMC	DMC	DC	ISI	BUI	FWI	Classes	Region
0	1	6	2012	29	57	18	0.0	65.7	3.4	7.6	1.3	3.4	0.5	not fire	1
1	2	6	2012	29	61	13	1.3	64.4	4.1	7.6	1.0	3.9	0.4	not fire	1
2	3	6	2012	26	82	22	13.1	47.1	2.5	7.1	0.3	2.7	0.1	not fire	1
3	4	6	2012	25	89	13	2.5	28.6	1.3	6.9	0.0	1.7	0	not fire	1
4	5	6	2012	27	77	16	0.0	64.8	3.0	14.2	1.2	3.9	0.5	not fire	1
5	6	6	2012	31	67	14	0.0	82.6	5.8	22.2	3.1	7.0	2.5	fire	1
6	7	6	2012	33	54	13	0.0	88.2	9.9	30.5	6.4	10.9	7.2	fire	1
7	8	6	2012	30	73	15	0.0	86.6	12.1	38.3	5.6	13.5	7.1	fire	1
8	9	6	2012	25	88	13	0.2	52.9	7.9	38.8	0.4	10.5	0.3	not fire	1
9	10	6	2012	28	79	12	0.0	73.2	9.5	46.3	1.3	12.6	0.9	not fire	1

Last rows

	day	month	year	Temperature	RH	Ws	Rain	FFMC	DMC	DC	ISI	BUI	FWI	Classes
234	21	9	2012	35	34	17	0.0	92.2	23.6	97.3	13.8	29.4	21.6	fire
235	22	9	2012	33	64	13	0.0	88.9	26.1	106.3	7.1	32.4	13.7	fire
236	23	9	2012	35	56	14	0.0	89.0	29.4	115.6	7.5	36.0	15.2	fire
237	24	9	2012	26	49	6	2.0	61.3	11.9	28.1	0.6	11.9	0.4	not fire
238	25	9	2012	28	70	15	0.0	79.9	13.8	36.1	2.4	14.1	3	not fire
239	26	9	2012	30	65	14	0.0	85.4	16.0	44.5	4.5	16.9	6.5	fire
240	27	9	2012	28	87	15	4.4	41.1	6.5	8	0.1	6.2	0	not fire
241	28	9	2012	27	87	29	0.5	45.9	3.5	7.9	0.4	3.4	0.2	not fire
242	29	9	2012	24	54	18	0.1	79.7	4.3	15.2	1.7	5.1	0.7	not fire
243	30	9	2012	24	64	15	0.2	67.3	3.8	16.5	1.2	4.8	0.5	not fire

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Space Separator

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Lowercase Letter

Other Punctuation

Space Separator

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number